11 citations · 67 across the 23 of their papers we have counts for
6 papers · 1 filter
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
Haiwei Wu, Jiantao Zhou, Yuanman Li
Deep learning (DL) has demonstrated its powerful capabilities in the field of image inpainting. The DL-based image inpainting approaches can produce visually plausible results, but…
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
Haiwei Wu, Jiantao Zhou
Many practical applications, e.g., content based image retrieval and object recognition, heavily rely on the local features extracted from the query image. As these local features…
Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling
Haiwei Wu, Lin Zhang, Lin Yang +4
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020. For the mask detection task, we train deep convolutional ne…
Transformer based unsupervised pre-training for acoustic representation learning
Ruixiong Zhang, Haiwei Wu, Wubo Li +3
Recently, a variety of acoustic tasks and related applications arised. For many acoustic tasks, the labeled data size may be limited. To handle this problem, we propose an unsuperv…
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection
Murong Ma, Haiwei Wu, Xuyang Wang +3
In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection. Different from previous…
Domain Aware Training for Far-field Small-footprint Keyword Spotting
Haiwei Wu, Yan Jia, Yuanfei Nie +1
In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario. Far-field environments are commonly encountered in real-life speech applicatio…